Statistics for high-dimensional data: methods, theory and applications/
Peter Buhlmann, Sara van de Geer.
- Heidelberg; New York: Springer, 2011.
- xvii, 556 pages: illustrations (some color); 24 cm.
- Springer series in statistics, .
- Springer series in statistics. .
Includes bibliographical references (pages 547-556) and indexes.
9783642201912 3642201911
2011930793
Mathematical statistics. Smoothness of functions. Nonconvex programming. Least absolute deviations (Statistics) Linear models (Statistics)